\Header{getInitial}{Get Initial Parameter Estimates}
\methalias{getInitial.default}{getInitial}
\methalias{getInitial.formula}{getInitial}
\methalias{getInitial.selfStart}{getInitial}
\keyword{models}{getInitial}
\keyword{nonlinear}{getInitial}
\keyword{manip}{getInitial}
\begin{Description}\relax
This function evaluates initial parameter estimates for a nonlinear
regression model.  If \code{data} is a parameterized data frame or
\code{pframe} object, its \code{parameters} attribute is returned.
Otherwise the object is examined to see if it contains a call to a
\code{selfStart} object whose \code{initial} attribute can be
evaluated.\end{Description}
\begin{Usage}
\begin{verbatim}
getInitial(object, data, ...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{object}] a formula or a \code{selfStart} model that defines a
nonlinear regression model
\item[\code{data}] a data frame in which the expressions in the formula or
arguments to the \code{selfStart} model can be evaluated
\item[\code{...}] optional additional arguments
\end{ldescription}
\end{Arguments}
\begin{Value}
A named numeric vector or list of starting estimates for the
parameters.  The construction of many \code{selfStart} models is such
that these "starting" estimates are, in fact, the converged parameter
estimates.\end{Value}
\begin{Author}\relax
Jose Pinheiro and Douglas Bates\end{Author}
\begin{SeeAlso}\relax
\code{\Link{nls}}, 
\code{\Link{selfStart}},
\code{\Link{selfStart.default}}, \code{\Link{selfStart.formula}}\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
data(Puromycin)
PurTrt <- Puromycin[ Puromycin$state == "treated", ]
getInitial( rate ~ SSmicmen( conc, Vm, K ), PurTrt )
\end{ExampleCode}
\end{Examples}

